Triple Smoothed Signals [AlgoAlpha]Introducing the Triple Smoothed Signals indicator by AlgoAlpha, a powerful tool designed to help traders identify trend direction and market momentum with greater accuracy. By applying triple smoothing techniques to your chosen data source, this indicator filters out market noise, allowing you to focus on significant price movements. Perfect for traders looking to enhance their technical analysis and gain an edge in the markets.
Key Features
🎨 Customizable Moving Averages : Choose between EMA, SMA, RMA, or WMA for both the triple smoothing and the signal line to tailor the indicator to your trading style.
🛠 Adjustable Smoothing Lengths : Configure the main smoothing length and signal length to fit different timeframes and market conditions.
🌈 Dynamic Color Fills : Visual gradients and fills highlight trend strength and direction, making chart analysis more intuitive.
🔔 Alerts : Set alerts for bullish and bearish crossover signals to stay ahead of market moves without constant chart monitoring.
📈 Clear Signal Visualization : Bullish and bearish signals are plotted directly on your chart for easy interpretation and timely decision-making.
Quick Guide to Using the Triple Smoothed Signals Indicator
🛠 Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites. Customize the settings such as the main smoothing length, signal length, data source, and moving average types to match your trading strategy.
📊 Market Analysis : Monitor the crossovers between the triple smoothed moving average and the signal line. A bullish signal is generated when the signal line crosses under the triple smoothed MA, indicating a potential upward trend. Conversely, a bearish signal occurs when the signal line crosses over the triple smoothed MA, suggesting a possible downward trend.
🔔 Alerts : Enable notifications for reversal signals and trend shifts to stay informed about market movements without constantly monitoring the chart.
How It Works
The Triple Smoothed Signals indicator enhances trend detection by applying a triple smoothing process to your selected data source using the moving average type of your choice (EMA, SMA, RMA, or WMA). This triple smoothed moving average (v1) effectively reduces short-term fluctuations and noise, revealing the underlying market trend. A signal line (v2) is then calculated by smoothing the triple smoothed MA with a separate moving average, further refining the signal. The indicator calculates the normalized distance between the triple smoothed MA and the signal line over a specified period, which is used to create dynamic color gradients and fills on the chart. These visual elements provide immediate insight into trend strength and direction. Bullish and bearish signals are generated based on the crossovers between the signal line and the triple smoothed MA, and are plotted directly on the chart along with customizable alerts to assist traders in making timely decisions.
트렌드 어낼리시스
Weis Wave Max█ Overview
Weis Wave Max is the result of my weis wave study.
David Weis said,
"Trading with the Weis Wave involves changes in behavior associated with springs, upthrusts, tests of breakouts/breakdowns, and effort vs reward. The most common setup is the low-volume pullback after a bullish/bearish change in behavior."
THE STOCK MARKET UPDATE (February 24, 2013)
I inspired from his sentences and made this script.
Its Main feature is to identify the largest wave in Weis wave and advantageous trading opportunities.
█ Features
This indicator includes several features related to the Weis Wave Method.
They help you analyze which is more bullish or bearish.
Highlight Max Wave Value (single direction)
Highlight Abnormal Max Wave Value (both directions)
Support and Resistance zone
Signals and Setups
█ Usage
Weis wave indicator displays cumulative volume for each wave.
Wave volume is effective when analyzing volume from VSA (Volume Spread Analysis) perspective.
The basic idea of Weis wave is large wave volume hint trend direction. This helps identify proper entry point.
This indicator highlights max wave volume and displays the signal and then proper Risk Reward Ratio entry frame.
I defined Change in Behavior as max wave volume (single direction).
Pullback is next wave that does not exceed the starting point of CiB wave (LH sell entry, HL buy entry).
Change in Behavior Signal ○ appears when pullback is determined.
Change in Behavior Setup (Entry frame) appears when condition of Min/Max Pullback is met and follow through wave breaks end point of CiB wave.
This indicator has many other features and they can also help a user identify potential levels of trade entry and which is more bullish or bearish.
In the screenshot below we can see wave volume zones as support and resistance levels. SOT and large wave volume /delta price (yellow colored wave text frame) hint stopping action.
█ Settings
Explains the main settings.
-- General --
Wave size : Allows the User to select wave size from ① Fixed or ② ATR. ② ATR is Factor x ATR(Length).
Display : Allows the User to select how many wave text and zigzag appear.
-- Wave Type --
Wave type : Allows the User to select from Volume or Volume and Time.
Wave Volume / delta price : Displays Wave Volume / delta price.
Simplified value : Allows the User to select wave text display style from ① Divisor or ② Normalized. Normalized use SMA.
Decimal : Allows the User to select the decimal point in the Wave text.
-- Highlight Abnormal Wave --
Highlight Max Wave value (single direction) : Adds marks to the Wave text to highlight the max wave value.
Lookback : Allows the User to select how many waves search for the max wave value.
Highlight Abnormal Wave value (both directions) : Changes wave text size, color or frame color to highlight the abnormal wave value.
Lookback : Allows the User to select SMA length to decide average wave value.
Large/Small factor : Allows the User to select the threshold large wave value and small wave value. Average wave value is 1.
delta price : Highlights large delta price by large wave text size, small by small text size.
Wave Volume : Highlights large wave volume by yellow colored wave text, small by gray colored.
Wave Volume / delta price : highlights large Wave Volume / delta price by yellow colored wave text frame, small by gray colored.
-- Support and Resistance --
Single side Max Wave Volume / delta price : Draws dashed border box from end point of Max wave volume / delta price level.
Single side Max Wave Volume : Draws solid border box from start point of Max wave volume level.
Bias Wave Volume : Draws solid border box from start point of bias wave volume level.
-- Signals --
Bias (Wave Volume / delta price) : Displays Bias mark when large difference in wave volume / delta price before and after.
Ratio : Decides the threshold of become large difference.
3Decrease : Displays 3D mark when a continuous decrease in wave volume.
Shortening Of the Thrust : Displays SOT mark when a continuous decrease in delta price.
Change in Behavior and Pullback : Displays CiB mark when single side max wave volume and pullback.
-- Setups --
Change in Behavior and Pullback and Breakout : Displays entry frame when change in behavior and pullback and then breakout.
Min / Max Pullback : Decides the threshold of min / max pullback.
If you need more information, please read the indicator's tooltip.
█ Conclusion
Weis Wave is powerful interpretation of volume and its tell us potential trend change and entry point which can't find without weis wave.
It's not the holy grail, but improve your chart reading skills and help you trade rationally (at least from VSA perspective).
Kalman Synergy Oscillator (KSO)The Kalman Synergy Oscillator (KSO) is an innovative technical indicator that combines the Kalman filter with two well-established momentum oscillators: the Relative Strength Index (RSI) and Williams %R. This combination aims to provide traders with a more refined tool for market analysis.
The use of the Kalman filter is a key feature of the KSO. This sophisticated algorithm is known for its ability to extract meaningful signals from noisy data. In financial markets, this translates to smoothing out price action while maintaining responsiveness to genuine market movements. By applying the Kalman filter to price data before calculating the RSI and Williams %R, the KSO potentially offers more stable and reliable signals.
The synergy between the Kalman-filtered price data and the two momentum indicators creates an oscillator that attempts to capture market dynamics more effectively. The RSI contributes its strength in measuring the magnitude and speed of price movements, while Williams %R adds sensitivity to overbought and oversold conditions. Basing these calculations on Kalman-filtered data may help reduce false signals and provide a clearer picture of underlying market trends.
A notable aspect of the KSO is its dynamic weighting system. This approach adjusts the relative importance of the RSI and Williams %R based on their current strengths, allowing the indicator to emphasize the most relevant information as market conditions change. This flexibility, combined with the noise-reduction properties of the Kalman filter, positions the KSO as a potentially useful tool for different market conditions.
In practice, traders might find that the KSO offers several potential benefits:
Smoother oscillator movements, which could aid in trend identification and reversal detection.
Possibly reduced whipsaws, particularly in choppy or volatile markets.
Potential for improved divergence detection, which might lead to more timely reversal signals.
Consistent performance across different timeframes, due to the adaptive nature of the Kalman filter.
While the KSO builds upon existing concepts in technical analysis, its integration of the Kalman filter with traditional momentum indicators offers traders an interesting tool for market analysis. It represents an attempt to address common challenges in technical analysis, such as noise reduction and false signal minimization.
As with any technical indicator, the KSO should be used as part of a broader trading strategy rather than in isolation. Its effectiveness will depend on how well it aligns with a trader's individual approach and market conditions. For traders looking to explore a more refined momentum oscillator, the Kalman Synergy Oscillator could be a worthwhile addition to their analytical toolkit.
AadTrend [InvestorUnknown]The AadTrend indicator is an experimental trading tool that combines a user-selected moving average with the Average Absolute Deviation (AAD) from this moving average. This combination works similarly to the Supertrend indicator but offers additional flexibility and insights. In addition to generating Long and Short signals, the AadTrend indicator identifies RISK-ON and RISK-OFF states for each trade direction, highlighting areas where taking on more risk may be considered.
Core Concepts and Features
Moving Average (User-Selected Type)
The indicator allows users to select from various types of moving averages to suit different trading styles and market conditions:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Hull Moving Average (HMA)
Double Exponential Moving Average (DEMA)
Triple Exponential Moving Average (TEMA)
Relative Moving Average (RMA)
Fractal Adaptive Moving Average (FRAMA)
Average Absolute Deviation (AAD)
The Average Absolute Deviation measures the average distance between each data point and the mean, providing a robust estimation of volatility.
aad(series float src, simple int length, simple string avg_type) =>
avg = // Moving average as selected by the user
abs_deviations = math.abs(src - avg)
ta.sma(abs_deviations, length)
This provides a volatility measure that adapts to recent market conditions.
Combining Moving Average and AAD
The indicator creates upper and lower bands around the moving average using the AAD, similar to how the Supertrend indicator uses Average True Range (ATR) for its bands.
AadTrend(series float src, simple int length, simple float aad_mult, simple string avg_type) =>
// Calculate AAD (volatility measure)
aad_value = aad(src, length, avg_type)
// Calculate the AAD-based moving average by scaling the price data with AAD
avg = switch avg_type
"SMA" => ta.sma(src, length)
"EMA" => ta.ema(src, length)
"HMA" => ta.hma(src, length)
"DEMA" => ta.dema(src, length)
"TEMA" => ta.tema(src, length)
"RMA" => ta.rma(src, length)
"FRAMA" => ta.frama(src, length)
avg_p = avg + (aad_value * aad_mult)
avg_m = avg - (aad_value * aad_mult)
var direction = 0
if ta.crossover(src, avg_p)
direction := 1
else if ta.crossunder(src, avg_m)
direction := -1
A chart displaying the moving average with upper and lower AAD bands enveloping the price action.
Signals and Trade States
1. Long and Short Signals
Long Signal: Generated when the price crosses above the upper AAD band,
Short Signal: Generated when the price crosses below the lower AAD band.
2. RISK-ON and RISK-OFF States
These states provide additional insight into the strength of the current trend and potential opportunities for taking on more risk.
RISK-ON Long: When the price moves significantly above the upper AAD band after a Long signal.
RISK-OFF Long: When the price moves back below the upper AAD band, suggesting caution.
RISK-ON Short: When the price moves significantly below the lower AAD band after a Short signal.
RISK-OFF Short: When the price moves back above the lower AAD band.
Highlighted areas on the chart representing RISK-ON and RISK-OFF zones for both Long and Short positions.
A chart showing the filled areas corresponding to trend directions and RISK-ON zones
Backtesting and Performance Metrics
While the AadTrend indicator focuses on generating signals and highlighting risk areas, it can be integrated with backtesting frameworks to evaluate performance over historical data.
Integration with Backtest Library:
import InvestorUnknown/BacktestLibrary/1 as backtestlib
Customization and Calibration
1. Importance of Calibration
Default Settings Are Experimental: The default parameters are not optimized for any specific market condition or asset.
User Calibration: Traders should adjust the length, aad_mult, and avg_type parameters to align the indicator with their trading strategy and the characteristics of the asset being analyzed.
2. Factors to Consider
Market Volatility: Higher volatility may require adjustments to the aad_mult to avoid false signals.
Trading Style: Short-term traders might prefer faster-moving averages like EMA or HMA, while long-term traders might opt for SMA or FRAMA.
Alerts and Notifications
The AadTrend indicator includes built-in alert conditions to notify traders of significant market events:
Long and Short Alerts:
alertcondition(long_alert, "LONG (AadTrend)", "AadTrend flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (AadTrend)", "AadTrend flipped ⬇Short⬇")
RISK-ON and RISK-OFF Alerts:
alertcondition(risk_on_long, "RISK-ON LONG (AadTrend)", "RISK-ON LONG (AadTrend)")
alertcondition(risk_off_long, "RISK-OFF LONG (AadTrend)", "RISK-OFF LONG (AadTrend)")
alertcondition(risk_on_short, "RISK-ON SHORT (AadTrend)", "RISK-ON SHORT (AadTrend)")
alertcondition(risk_off_short, "RISK-OFF SHORT (AadTrend)", "RISK-OFF SHORT (AadTrend)")
Important Notes and Disclaimer
Experimental Nature: The AadTrend indicator is experimental and should be used with caution.
No Guaranteed Performance: Past performance is not indicative of future results. Backtesting results may not reflect real trading conditions.
User Responsibility: Traders and investors should thoroughly test and calibrate the indicator settings before applying it to live trading.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Mister Arroyo Milky Way with MACD ArrowsCreated by Anthony Arroyo (YoMrArroyo)
The Mister Arroyo Milky Way indicator combines a dynamic EMA Ribbon and MACD crossover signals to provide traders with clear and actionable insights into market trends and momentum.
Key Features:
EMA Ribbon Visualization:
A series of Exponential Moving Averages (EMAs) designed to highlight market direction and trends.
Color-coded lines for each EMA indicate upward or downward slopes, offering an at-a-glance view of market momentum.
MACD Crossover Arrows:
Green Up Arrows when the MACD line crosses above the Signal line, signaling potential bullish momentum.
Red Down Arrows when the MACD line crosses below the Signal line, indicating potential bearish momentum.
How to Use:
Use the EMA Ribbon to identify the overall trend:
Upward-sloping ribbons suggest bullish momentum.
Downward-sloping ribbons suggest bearish momentum.
Combine trend analysis with MACD crossover signals:
Look for buy opportunities when the MACD signals a bullish crossover in an uptrend.
Watch for sell opportunities during bearish crossovers in a downtrend.
Why Use This Indicator?
The Mister Arroyo Milky Way simplifies market analysis by combining two powerful tools—EMA ribbons and MACD crossovers—into one easy-to-read indicator. Whether you're a beginner or an experienced trader, this indicator enhances your ability to spot trends, identify momentum shifts, and make more informed trading decisions.
Kalman Trend Strength Index (K-TSI)The Kalman Trend Strength Index (K-TSI) is an innovative technical indicator that combines the Kalman filter with correlation analysis to measure trend strength in financial markets. This sophisticated tool aims to provide traders with a more refined method for trend analysis and market dynamics interpretation.
The use of the Kalman filter is a key feature of the K-TSI. This advanced algorithm is renowned for its ability to extract meaningful signals from noisy data. In financial markets, this translates to smoothing out price action while maintaining responsiveness to genuine market movements. By applying the Kalman filter to price data before performing correlation analysis, the K-TSI potentially offers more stable and reliable trend signals.
The synergy between the Kalman-filtered price data and correlation analysis creates an oscillator that attempts to capture market dynamics more effectively. The correlation component contributes by measuring the strength and consistency of price movements relative to time, while the Kalman filter adds robustness by reducing the impact of market noise. Basing these calculations on Kalman-filtered data may help reduce false signals and provide a clearer picture of underlying market trends.
A notable aspect of the K-TSI is its normalization process. This approach adjusts the indicator's values to a standardized range (-1 to 1), allowing for consistent interpretation across different market conditions and timeframes. This flexibility, combined with the noise-reduction properties of the Kalman filter, positions the K-TSI as a potentially useful tool for various market environments.
In practice, traders might find that the K-TSI offers several potential benefits:
Smoother trend identification, which could aid in detecting the start and end of trends more accurately.
Possibly reduced false signals, particularly in choppy or volatile markets.
Potential for improved trend strength assessment, which might lead to more confident trading decisions.
Consistent performance across different timeframes, due to the adaptive nature of the Kalman filter and the normalization process.
The K-TSI's visual representation as a color-coded histogram further enhances its utility. The changing colors and intensities provide an intuitive way to gauge both the direction and strength of trends, making it easier for traders to quickly assess market conditions.
While the K-TSI builds upon existing concepts in technical analysis, its integration of the Kalman filter with correlation analysis offers traders an interesting tool for market analysis. It represents an attempt to address common challenges in technical analysis, such as noise reduction and trend strength quantification.
As with any technical indicator, the K-TSI should be used as part of a broader trading strategy rather than in isolation. Its effectiveness will depend on how well it aligns with a trader's individual approach and market conditions. For traders looking to explore a more refined trend strength oscillator, the Kalman Trend Strength Index could be a worthwhile addition to their analytical toolkit.
Take Double Action PriceThe "Take Double Action Price" (TakeDAP) indicator is a comprehensive tool designed for TradingView, offering a wide range of features to help traders identify key price action patterns, trend directions, and potential trading opportunities. This indicator combines multiple technical analysis methods, including Exponential Moving Averages (EMAs), cloud trends, super trends, and various price action patterns, to provide a holistic view of the market.
Key Features:
Price Action Settings:
Position Loss %: Allows traders to set the potential loss of a position as a percentage, which is used to calculate the required leverage.
Fixed Leverage: Option to enable or disable fixed leverage.
Set Leverage: Specify the total capital when using fixed leverage.
Total Capital: Define the total capital for leverage calculations.
Price Action Patterns:
Pin Bars: Identify pin bars with customizable colors.
Outside Bars: Detect outside bars with customizable colors.
Inside Bars: Recognize inside bars with customizable colors.
PPR Bars: Identify PPR bars with customizable colors.
Candle and Line Customization:
Customize the colors of candles, wicks, borders, and labels.
Adjust the length of label lines, take lines, and stop lines.
Trend Settings:
Show Cloud Trend: Option to display the cloud trend.
Cloud Lookback Period: Define the lookback period for the cloud trend.
Cloud Highligher Colors: Customize the colors for uptrend and downtrend highlights.
Cloud Trend Transparence: Adjust the transparency of the cloud trend.
Exponential Moving Average (EMA):
Show EMA: Option to display EMAs.
Fill EMA: Option to fill the area between EMAs.
EMA Source: Select the source for EMA calculations.
EMA Lengths and Colors: Customize the lengths and colors for up to nine EMAs.
Offset and Transparency: Adjust the offset and transparency of EMAs.
Super Trend:
Show Super Trend: Option to display the super trend.
ATR Lengths and Factors: Customize the ATR lengths and factors for the super trend.
Super Trend Colors: Customize the colors for uptrend and downtrend highlights.
Super Trend Transparence: Adjust the transparency of the super trend.
EMA Trend Bands:
Show EMA Trend Bands: Option to display EMA trend bands.
EMA Trend Deviation: Customize the deviation for EMA trend bands.
EMA Trend Highligter Colors: Customize the colors for uptrend and downtrend highlights.
EMA Trend Transparence: Adjust the transparency of EMA trend bands.
ATR Trend Bands:
Show ATR Trend Bands: Option to display ATR trend bands.
ATR Length and Smoothing: Customize the ATR length and smoothing method.
ATR Take Multipliers: Customize the take multipliers for ATR trend bands.
ATR Trend Highligter Colors: Customize the colors for uptrend and downtrend highlights.
Price Action Signals Source:
Select the source for displaying price action signals based on the price position.
Alerts:
All Price Actions: Alert for any price action pattern formed.
Only Pin-bar: Alert specifically for pin-bar patterns.
Usage:
The "Take Double Action Price" indicator is designed to be a versatile tool for traders, providing multiple layers of analysis to help identify potential trading opportunities. By combining price action patterns with trend analysis and moving averages, traders can gain a comprehensive understanding of market conditions and make more informed trading decisions.
Customization:
The indicator offers extensive customization options, allowing traders to tailor the settings to their specific trading strategies and preferences. From adjusting the colors and lengths of various elements to selecting the sources for trend and price action signals, traders can fine-tune the indicator to suit their needs.
Explanation
Pin Bar Detection
The function shouldColorCandle takes the open, close, high, and low prices of a candle as inputs.
It calculates the body size (A), the upper wick size (B), and the lower wick size (C) of the candle.
conditionpinDN: A downward pin bar is detected if the upper wick (B) is at least twice the size of the body (A) and the lower wick (C).
conditionpinUP: An upward pin bar is detected if the lower wick (C) is at least twice the size of the body (A) and the upper wick (B).
The function returns two boolean values: conditionpinDN and conditionpinUP, indicating whether the current candle is a downward or upward pin bar, respectively.
PPR Bar Detection
The function isPPR takes the open, high, low, close prices of the current candle and the previous candle (openPrev, highPrev, lowPrev, closePrev) as inputs.
It checks if the current close price is greater than the previous high price and if the previous open price is greater than the previous close price for a bullish PPR.
It checks if the current close price is less than the previous low price and if the previous open price is less than the previous close price for a bearish PPR.
Outside Bar Detection
The function isOutsideBarAbsorption takes the open, high, low, close prices of the current candle and the previous candle (openPrev, highPrev, lowPrev, closePrev) as inputs.
It checks if the current close price is greater than the previous high price and if the current low price is less than the previous low price for a bullish outside bar.
It checks if the current close price is less than the previous low price and if the current high price is greater than the previous high price for a bearish outside bar.
Line Plotting:
The script builds lines for stop and take profit levels, the multiplier of which can be changed in the settings.
For PPR and outside bars, it builds lines based on previous highs or lows with take profit and stop factors.
For Pin bars, it builds lines based on the long wick of the candle with take profit and stop factors.
Leverage Calculation:
The script calculates the stop value based on the high and low prices of the previous and current candles.
It then calculates the leverage value as a percentage of the stop value (the "X:" on the label).
The leverage value is calculated based on the leverage percentage or the fixed leverage value if enabled.
The position value is calculated based on the capital, shoulder percentage, stop value, and set leverage.
EMA Trend Calculation:
Calculates the standard deviation of the selected EMA multiplied by the deviation multiplier and calculates the upper and lower deviation bands and displays the required ones relative to the current price and the short term EMA.
ATR Bands Calculation:
Calculate the upper and lower ATR bands around the selected ATR source and multipliers and determine which ATR band to plot based on the position of the closing price relative to the ATR source.
EMA Extension:
Calculates the absolute difference between the 3rd EMA and the 5th EMA and store previous values when there is a change
A bullish extension is detected if the current difference is greater than the previous difference and 3rd EMA is above 5th EMA.
A bearish extension is detected if the current difference is greater than the previous difference and 3rd EMA is below 5th EMA.
Plots shapes (triangles) on the chart to indicate the detected extensions.
Swing Trading Indicator with buy sell signal by soyabThis Indicator useful for Weekly & Daily Time Frame.
ADX and DI Trend meter and status table IndicatorThis ADX (Average Directional Index) and DI (Directional Indicator) indicator helps identify:
Trend Direction & Strength:
LONG: +DI above -DI with ADX > 20
SHORT: -DI above +DI with ADX > 20
RANGE: ADX < 20 indicates choppy/sideways market
Trading Signals:
Bullish: +DI crosses above -DI (green triangle)
Bearish: -DI crosses below +DI (red triangle)
ADX Strength Levels:
Strong: ADX ≥ 50
Moderate: ADX 30-49
Weak: ADX 20-29
No Trend: ADX < 20
Best Uses:
Trend confirmation before entering trades
Identifying ranging vs trending markets
Exit signal when trend weakens
Works well on multiple timeframes
Most effective in combination with other indicators
The table displays current trend direction and ADX strength in real-time
EMA Cross 3-30 strong buy signalThis script implements a robust EMA (Exponential Moving Average) crossover strategy with customizable parameters for generating strong buy and sell signals. Below are the key features and how you can use and optimize it:
Features
Customizable EMAs:
EMA1 (short-term) and EMA2 (long-term) are adjustable for specific trading styles.
Alerts and Notifications:
Provides alerts for EMA crossovers, with distinct notifications for buy and sell signals.
Dashboard Display:
Displays EMA-related conditions in a dashboard on the chart.
Bar and Background Coloring:
Colors the bars and background based on the EMA crossover and price relationship.
Chart Indicators:
Plots EMA lines and fills the area between them to visualize the trend.
Custom Bar Coloring:
Highlights bullish and bearish trends based on price crossing above/below the EMAs.
How to Optimize
Adjust EMA Lengths:
Shorter lengths (e.g., 3 and 30) suit faster-moving markets.
Longer lengths (e.g., 12 and 50) are better for smoother signals in less volatile markets.
Test Across Markets and Timeframes:
Backtest the script on various assets (e.g., Forex, stocks, or crypto).
Use different timeframes to find what works best for your trading strategy.
Enable Alerts:
Turn on alerts to receive real-time notifications when buy or sell signals trigger.
How It Works
Buy Signal: Triggered when the price crosses above both EMA1 and EMA2.
Sell Signal: Triggered when the price crosses below both EMA1 and EMA2.
Trend Display: The dashboard shows whether the price is above or below each EMA.
BNF FUT 5 min Volatility StrategyThis is strategy which works well in Banknifty 5 min future chart. This is purely an intraday strategy, do not need to keep position overnight.This indicator handle bank nifty volatality too.
Ultra Liquidity HeatmapThe Ultra Liquditiy Heatmap is a unique visualization tool designed to map out areas of high liquidity on the chart using a dynamic heatmap, helping traders identify significant price zones effectively.
Introduction
The Ultra Liquidity Heatmap is an advanced indicator for visualizing key liquidity areas on your chart. Whether you're a scalper, swing trader, or long-term investor, understanding liquidity dynamics can offer a powerful edge in market analysis. This tool provides a straightforward visual representation of these zones directly on your chart.
Detailed Description
The Ultra Liquidity Heatmap identifies high and low liquidity zones by dynamically marking price ranges with heatmap-like boxes.
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Dynamic Zone Creation
For low liquidity zones, the script draws boxes extending from the low to the high of the bar. If the price breaks below a previously defined zone, that box is removed.
Similarly, for high liquidity zones, the script tracks and highlights price ranges above the current high, removing boxes if the price exceeds the zone.
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Customizable Visuals
Users can adjust the transparency and color of the heatmap, tailoring the visualization to their preference.
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Real-Time Updates
The indicator constantly updates as new price data comes in, ensuring that the heatmap reflects the most current liquidity zones.
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Efficiency and Scalability
The script uses optimized arrays and a maximum box limit of 500 to ensure smooth performance even on higher timeframes or during high-volatility periods.
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The Ultra Liquidity Heatmap bridges the gap between raw price data and actionable market insight. Add it to your toolbox and elevate your trading strategy today!
Weekly H/L DOTWThe Weekly High/Low Day Breakdown indicator provides a detailed statistical analysis of the days of the week (Monday to Sunday) on which weekly highs and lows occur for a given timeframe. It helps traders identify recurring patterns, correlations, and tendencies in price behavior across different days of the week. This can assist in planning trading strategies by leveraging day-specific patterns.
The indicator visually displays the statistical distribution of weekly highs and lows in an easy-to-read tabular format on your chart. Users can customize how the data is displayed, including whether the table is horizontal or vertical, the size of the text, and the position of the table on the chart.
Key Features:
Weekly Highs and Lows Identification:
Tracks the highest and lowest price of each trading week.
Records the day of the week on which these events occur.
Customizable Table Layout:
Option to display the table horizontally or vertically.
Text size can be adjusted (Small, Normal, or Large).
Table position is customizable (top-right, top-left, bottom-right, or bottom-left of the chart).
Flexible Value Representation:
Allows the display of values as percentages or as occurrences.
Default setting is occurrences, but users can toggle to percentages as needed.
Day-Specific Display:
Option to hide Saturday or Sunday if these days are not relevant to your trading strategy.
Visible Date Range:
Users can define a start and end date for the analysis, focusing the results on a specific period of interest.
User-Friendly Interface:
The table dynamically updates based on the selected timeframe and visibility of the chart, ensuring the displayed data is always relevant to the current context.
Adaptable to Custom Needs:
Includes all-day names from Monday to Sunday, but allows for specific days to be excluded based on the user’s preferences.
Indicator Logic:
Data Collection:
The indicator collects daily high, low, day of the week, and time data from the selected ticker using the request.security() function with a daily timeframe ('D').
Weekly Tracking:
Tracks the start and end times of each week.
During each week, it monitors the highest and lowest prices and the days they occurred.
Weekly Closure:
When a week ends (detected by Sunday’s daily candle), the indicator:
Updates the statistics for the respective days of the week where the weekly high and low occurred.
Resets tracking variables for the next week.
Visible Range Filter:
Only processes data for weeks that fall within the visible range of the chart, ensuring the table reflects only the visible portion of the chart.
Statistical Calculations:
Counts the number of weekly highs and lows for each day.
Calculates percentages relative to the total number of weeks in the visible range.
Dynamic Table Display:
Depending on user preferences, displays the data either horizontally or vertically.
Formats the table with proper alignment, colors, and text sizes for easy readability.
Custom Value Representation:
If set to "percentages," displays the percentage of weeks a high/low occurred on each day.
If set to "occurrences," displays the raw count of weekly highs/lows for each day.
Input Parameters:
High Text Color:
Color for the text in the "Weekly High" row or column.
Low Text Color:
Color for the text in the "Weekly Low" row or column.
High Background Color:
Background color for the "Weekly High" row or column.
Low Background Color:
Background color for the "Weekly Low" row or column.
Table Background Color:
General background color for the table.
Hide Saturday:
Option to exclude Saturday from the analysis and table.
Hide Sunday:
Option to exclude Sunday from the analysis and table.
Values Format:
Dropdown menu to select "percentages" or "occurrences."
Default value: "occurrences."
Table Position:
Dropdown menu to select the table position on the chart: "top_right," "top_left," "bottom_right," "bottom_left."
Default value: "top_right."
Text Size:
Dropdown menu to select text size: "Small," "Normal," "Large."
Default value: "Normal."
Vertical Table Format:
Checkbox to toggle the table layout:
Checked: Table displays days vertically, with Monday at the top.
Unchecked: Table displays days horizontally.
Start Date:
Allows users to specify the starting date for the analysis.
End Date:
Allows users to specify the ending date for the analysis.
Use Cases:
Day-Specific Pattern Recognition:
Identify if specific days, such as Monday or Friday, are more likely to form weekly highs or lows.
Seasonal Analysis:
Use the start and end date filters to analyze patterns during specific trading seasons.
Strategy Development:
Plan day-based entry and exit strategies by identifying recurring patterns in weekly highs/lows.
Historical Review:
Study historical data to understand how market behavior has changed over time.
TradingView TOS Compliance Notes:
Originality:
This script is uniquely designed to provide day-based statistics for weekly highs and lows, which is not a common feature in other publicly available indicators.
Usefulness:
Offers practical insights for traders interested in understanding day-specific price behavior.
Detailed Description:
Fully explains the purpose, features, logic, input settings, and use cases of the indicator.
Includes clear and concise details on how each input works.
Clear Input Descriptions:
All input parameters are clearly named and explained in the script and this description.
No Redundant Functionality:
Focused specifically on tracking weekly highs and lows, ensuring the indicator serves a distinct purpose without unnecessary features.
Bollinger Band Breakout Strategy This is a strategy script that can be used to trade the stock market or in some cases the crypto market.
It is a BB (Bollinger Band) Breakout Strategy that has a 3:1 standard deviation between the upper band and lower band. It also consists of a 100 day MA in the middle of the two BBs (Bollinger Bands).
The strategy is useful in detecting longer term trends and does it through a breakout above the upper band. The lower band is used to stop-out trades.
The main disadvantage of this strategy is the large DD (draw downs), so it might be useful to use other methods for stopping out trades.
Put Call Ratio Equities + IndexPut Call Ratio Indicator for Equities & Index
This indicator shows:
- 10-day Simple Moving Average: Reflects short-term trends of the Put/Call Ratio.
- 200-day Simple Moving Average: Provides a long-term view of the Put/Call Ratio.
- Standard Deviation Bands: One standard deviation from the 200-day SMA, indicating volatility
around the long-term trend.
It does not display the actual Put/Call Ratio but uses its adjusted form to help analyze market sentiment without the raw data's noise.
EMA Lines for High, Low, and Close (20 & 100) Description:
This script plots Exponential Moving Averages (EMA) for the High, Low, and Close prices using two customizable lengths:
20 EMA: Short-term trend indicator (plotted in green).
100 EMA: Long-term trend indicator (plotted in yellow).
Features:
Six distinct lines for better trend visualization:
20 EMA (High, Low, Close).
100 EMA (High, Low, Close).
Customizable lengths for both EMA groups.
Clean and minimalistic design to focus on price movements.
Use Case:
Identify dynamic support and resistance levels.
Analyze short-term and long-term trends.
Combine with other indicators for enhanced trading strategies.
CandelaCharts - Opening Gap (OG) 📝 Overview
The ICT (Inner Circle Trader) Opening Gap represents the price difference between the previous trading session's closing price and the current session's opening price. This gap serves as a key indicator of market sentiment and can offer valuable clues about the market's potential direction throughout the trading day.
A bullish Opening Gap forms when the market opens higher than the previous session's close, signaling strong buying interest or positive sentiment heading into the new session
A bearish Opening Gap occurs when the market opens lower than the previous session's close, reflecting heightened selling pressure or negative sentiment among market participants
The Opening Gap is significant as it often establishes the market's tone for the trading session. Accurately interpreting this gap enables traders to make informed decisions about when to enter or exit positions. Serving as a gauge of market strength or weakness, the gap provides a clear signal of whether the market is likely to trend upward or downward during the day.
📦 Features
MTF
Mitigation
Consequent Encroachment
Threshold
Hide Overlap
Advanced Styling
⚙️ Settings
Show: Controls whether FVGs are displayed on the chart.
Show Last: Sets the number of FVGs you want to display.
Length: Determines the length of each FVG.
Mitigation: Highlights when an FVG has been touched, using a different color without marking it as invalid.
Timeframe: Specifies the timeframe used to detect FVGs.
Threshold: Sets the minimum gap size required for FVG detection on the chart.
Show Mid-Line: Configures the midpoint line's width and style within the FVG. (Consequent Encroachment - CE)
Show Border: Defines the border width and line style of the FVG.
Hide Overlap: Removes overlapping FVGs from view.
Extend: Extends the FVG length to the current candle.
Elongate: Fully extends the FVG length to the right side of the chart.
⚡️ Showcase
Simple
Mitigated
Bordered
Consequent Encroachment
Extended
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when the price opens lower than the previous session's close.
Bullish Signal
A bullish signal is triggered when the price opens higher than the previous session's close.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Momentum Zones [TradersPro]OVERVIEW
The Momentum Zones indicator is designed for momentum stock traders to provide a visible trend structure with actionable price levels. The indicator has been designed for high-growth, bullish stocks on a daily time frame but can be used on any chart and timeframe.
Momentum zones help traders focus on the momentum structure of price, enabling disciplined trading plans with specific entry, exit, and risk management levels.
It is built using CCI values, allowing for fixed trend range calculations. It is most effective when applied to screens of stocks with high RSI, year-to-date (YTD) price gains of 25% or higher, as well as stocks showing growth in both sales and earnings quarter-over-quarter and year-over-year.
CONCEPTS
The indicator defines and colors uptrends (green), downtrends (red), and trends in transition or pausing (yellow).
The indicator can be used for new trend entry or trend continuation entry. New trend entry can be done on the first green bar after a red bar. Trend continuation entries can be done with the first green bar after a yellow bar. The yellow transition zones can be used as price buffers for stop-loss management on new entries.
To see the color changes, users need to be sure to uncheck the candlestick color settings. This can be done by right-clicking the chart, going to Symbols, and unchecking the candle color body, border, and wick boxes.
Remember to check them if the indicator is turned off, or the candles will be blank with no color.
The settings also correspond to the screening function to get a list of stocks entering various momentum zones so you can have a prime list of the stocks meeting any other fundamental criteria you may desire. Traders can then use the indicator for the entry and risk structure of the trading plan.
VWAP Strategy with Risk Management1. Strategy Components
1.1. VWAP (Volume-Weighted Average Price)
Definition: VWAP is a trading indicator that provides the average price of an asset based on both price and volume.
Purpose in Strategy:
It serves as a dynamic support/resistance level.
The price crossing above VWAP signals potential bullish momentum (long entry).
The price crossing below VWAP signals potential bearish momentum (short entry).
Calculation:
Typical Price =
(
𝐻
𝑖
𝑔
ℎ
+
𝐿
𝑜
𝑤
+
𝐶
𝑙
𝑜
𝑠
𝑒
)
/
3
(High+Low+Close)/3
VWAP =
Sum(Typical Price × Volume)
Sum(Volume)
Sum(Volume)
Sum(Typical Price × Volume)
over the defined rolling period.
1.2. Trend Filter
Indicator: A 50-period Exponential Moving Average (EMA) is used to identify the larger trend.
In Uptrend: The price is above the EMA.
In Downtrend: The price is below the EMA.
Purpose in Strategy:
It ensures trades are aligned with the broader trend, reducing false signals.
Only long trades are allowed in an uptrend, and only short trades are allowed in a downtrend.
Price Above 50 and 200 EMA with Smiley faces and 200 ema slope
Overview
This advanced indicator provides a comprehensive multi-timeframe analysis of price positioning relative to 50 and 200 Exponential Moving Averages (EMAs), offering traders a quick and intuitive view of market trends across different timeframes.
Key Features
Multi-Timeframe Analysis: Simultaneously evaluates price behavior across 5m, 15m, and other selected timeframes
EMA Trend Visualization: Instantly shows whether price is above or below 50 and 200 EMAs
Slope Direction Indicator: Tracks the directional momentum of the 200 EMA
Customizable Distance Metrics: Option to display distances as absolute values or percentages
Emoji-Based Indicators: Quick visual representation of price positioning
Functionality
The indicator uses color-coded and emoji-based signals to represent:
😊 (Blue): Price is above the EMA
☹️ (Red): Price is below the EMA
⬆️ (Blue): EMA slope is positive
⬇️ (Red): EMA slope is negative
Customization Options
Adjustable EMA periods
Togglable distance display
Distance representation (percentage or absolute value)
Best Used For
Trend identification
Multi-timeframe analysis
Quick market sentiment assessment
Supplementing other technical analysis tools
Recommended Timeframes
Intraday trading
Swing trading
Trend following strategies
Risk Disclaimer
This indicator is a tool for analysis and should not be used in isolation for trading decisions. Always combine with other technical and fundamental analysis, and proper risk management.
Willonacci EMA Clouds v2A technical tool designed for profitable trend-following.
These are a combination of Moving Averages (Simple and Exponential).
Significance:
5/13 EMA Cloud - Trade Management for Momentum names
21/34 EMA Cloud - Short-Term Buy/Sell Zones
48 EMA/50 SMA Cloud - Mid-Term Buy/Sell Zones
For BIAS, I tend to lean more into the 21 EMA.
Daily 21 EMA - Indicates the Strength of the Short-Term Trend
Weekly 21 EMA - Indicates the Strength of the Overall market trend.
Also includes Higher-Timeframe EMAs (8, 21 and 34 EMAs as well as the 50 SMA on the Weekly chart) for "Bigger Picture" Trading.
Based on my Quantitative Analysis and Historical Back-testing over a 20-year period, these are the best set of moving averages out there for catching power trends and momentum moves.
PS: You can uncheck the Higher Timeframe EMAs in the Settings tab to avoid clustering your charts. I personally like having the Weekly 8 and 21 EMAs ON if we see a significant pullback in the markets. This helps me to stay in tune with the overall market trend.
Enjoy!!!
DT3 [by KeremErtem]In this script the trend of the price is evaluated by the slope of rate of changes.
The signal line is calculated by taking the average of "Linear Regression", "Relative Strength", "Wave Trend" and "Tillson's T3" by equal weights as "DT3".
The "Nadaraya Watsons Kernel Regression" of the signal is used to calculate the main trend line.
The trend channel is calculated by taking the Arnaud Legoux Moving Average of DT3 as the center line. Upper and lower channel borders are also calculated by using fibo factors as multipliers.
Hence the trader can use the signal line when it crosses up the main trend line up as a buy signal. And when the signal line crosses down the main trend line down as a sell signal.
Also when the price is lower or upper than the center line of the channel, it can be evaluated as resistance and support lines respectively.
Pour Niki dailyThis indicator allows bullish trend following by visually highlighting :
1/ the trend
2/ impulsive candles
3/ corrective movements
CHANELS: Chanels are created with 3 lines:
UPPER line is the line of the highs
STOPLOSS (dotted line) is a moving average that can be used for STOP LOSS positioning
END OF TREND is a moving average used to show a potential end of current trend
Periods are 20 and 7 for Daily Charts, can be changed to 7 and 3 for Weekly Charts
1. TREND detection
if the background is GREEN: Bullish
if the background is WHITE: Bearish
if the background is ORANGE: Uncertain
3. NEW TREND STARTING
▲ indicates the beginning of a new bullish trend
2. IMPULSIVE CANDLES in light green
can be used to look for a new entry point or for a partial profit in a running bullish trend
3. ALERTS
! indicates a corrective movement with the low close to the STOPLOSS line
